.NET Text & Documents Classification API

‎‎Empower your .NET applications with File & Text Classifier abilities using pre-defined tags or categories within IAB-2 or documents taxonomies.

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.NET text and documents classification API

GroupDocs.Classification for .NET

 

GroupDocs.Classification is a simple document and text classification API for C#, ASP.NET, VB.NET, J# or any other .NET based applications. Developers can work with two different types of taxonomies to perform advanced classifications, either by using IAB-2 for assigning standardized text categories to text or document taxonomy as developed by Aspose. The library analyses text, sentences, even words and supports classifying a variety of industry standard document formats including PDF, Microsoft Word, OpenDocument, RTF and text.

GroupDocs.Classification for .NET uses its own document processing engine and does not require any external tools be installed on the system. It targets .NET platform to develop applications and supports all popular operating systems (Windows, Linux, MacOS) where .NET frameworks (including .NET Core) can be installed.

 

Advanced Text & Documents Classification API Features

 

 

Classify documents by path using IAB-2 or documents taxonomies

 

Perform Raw Text Classification as per documents or IAB-2 taxonomies

 

Choose the number of classified results to return

 

Work with PDF, Docs, OpenOffice and Rich Text documents

 

‎100% Working Examples & Demos are Given to Quickly Learn the Supported Features

 

Unlimited Free Technical Support Provided through Product Forums

Precise Document Classification

GroupDocs.Classification for .NET supports classifying a variety of document formats with the next format. The below C# code example shows how to classify a PDF file with IAB-2 taxonomy by returning 3 best results.

Document Classification by Path using IAB-2 Taxonomy - C#

var response = classifier.Classify("document.pdf", ".", 3, Taxonomy.Iab2);
Console.WriteLine(response.BestClassName, response.BestClassProbability);
 

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